DingoDB VS Elasticsearch's vector database

讓我們透過對比DingoDB和Elasticsearch's vector database的優缺點,找出哪一款更適合您的需求。這份軟體對比基於真實用戶評測,比較了兩款產品的價格、功能、支援服務、易用性和用戶評價,幫助您在DingoDB和Elasticsearch's vector database中作出明智選擇,選擇最符合企業需求的那一款。

DingoDB

DingoDB
一個多模態資料庫,提供多模態強一致性資料儲存,例如關係、向量和文字,並提供基於 SQL 的多模態聯合分析功能。

Elasticsearch's vector database

Elasticsearch's vector database
從 BM25 文字搜尋的領導者取得 Elasticsearch 的開放原始碼向量資料庫,建置向量搜尋和混合搜尋。試用 Elasticsearch 的向量資料庫,免費....

DingoDB

Launched 2021-09
Pricing Model Free
Starting Price
Tech used cdnjs,Three.js,Gzip,Nginx,Ubuntu,Amazon AWS S3
Tag Vector Database,Data Analysis,Data Integration

Elasticsearch's vector database

Launched 2010-7
Pricing Model Freemium
Starting Price
Tech used Google Analytics,Google Tag Manager,Optimizely,Google Fonts,Next.js,Emotion,Gzip,JSON Schema,OpenGraph,Progressive Web App,Varnish,Webpack,HSTS
Tag Vector Database,Data Analysis

DingoDB Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

Elasticsearch's vector database Rank/Visit

Global Rank 29863
Country United States
Month Visit 1706536

Top 5 Countries

19.96%
8.53%
6.12%
4.67%
3.7%
United States China India Korea, Republic of United Kingdom

Traffic Sources

1.77%
0.82%
0.05%
7.31%
51.58%
38.46%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing DingoDB and Elasticsearch's vector database, you can also consider the following products

Seekdb - OceanBase seekdb is an open-source, AI-native search database that unifies relational, vector, text, JSON and GIS in a single engine, enabling hybrid search and in-database AI workflows.

VectorDB - VectorDB 是一個簡單、輕量、完全本地的端到端解決方案,可用於基於嵌入的文字檢索。

ArangoDB - ArangoDB:統一多模型資料庫。將文件、圖形與搜尋功能整合於一,為高效能應用程式和具備豐富脈絡的次世代人工智慧提供強大支援。

Lancedb - 探索 LanceDB 的強大威力,這是一款無伺服器向量資料庫,提供彈性搜尋功能和無縫擴展性。向管理開銷和高昂成本說再見。

CrateDB - CrateDB: High-performance distributed SQL for real-time analytics, search, & AI. Unify data & get instant insights from massive datasets.

More Alternatives